Insurance All 2

Dataset statistics

Number of variables	16
Number of observations	381109
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	57.5 MiB
Average record size in memory	158.2 B

Variable types

Numeric	10
Categorical	6

Warnings

`age_damage_premium` is highly skewed (γ1 = 168.2687719)	Skewed
`id` is uniformly distributed	Uniform
`id` has unique values	Unique

Reproduction

Analysis started	2021-02-13 20:42:06.192227
Analysis finished	2021-02-13 20:42:45.894614
Duration	39.7 seconds
Software version	pandas-profiling v2.10.0
Download configuration	config.yaml

id
Real number (ℝ_≥0)

UNIFORM
UNIQUE

Distinct	381109
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	190555
Minimum	1
Maximum	381109
Zeros	0
Zeros (%)	0.0%
Memory size	13.9 MiB

Quantile statistics

Minimum	1
5-th percentile	19056.4
Q1	95278
median	190555
Q3	285832
95-th percentile	362053.6
Maximum	381109
Range	381108
Interquartile range (IQR)	190554

Descriptive statistics

Standard deviation	110016.8362
Coefficient of variation (CV)	0.5773495117
Kurtosis	-1.2
Mean	190555
Median Absolute Deviation (MAD)	95277
Skewness	9.443273511 × 10¹⁶
Sum	7.26222255 × 10¹⁰
Variance	1.210370425 × 10¹⁰
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2049	1	< 0.1%
99738	1	< 0.1%
19875	1	< 0.1%
17826	1	< 0.1%
23969	1	< 0.1%
21920	1	< 0.1%
109983	1	< 0.1%
107934	1	< 0.1%
114077	1	< 0.1%
112028	1	< 0.1%
Other values (381099)	381099	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%

Value	Count	Frequency (%)
381109	1	< 0.1%
381108	1	< 0.1%
381107	1	< 0.1%
381106	1	< 0.1%
381105	1	< 0.1%

gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.9 MiB

0	206089
1	175020

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	381109
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Value	Count	Frequency (%)
0	206089	54.1%
1	175020	45.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	206089	54.1%
1	175020	45.9%

Most occurring characters

Value	Count	Frequency (%)
0	206089	54.1%
1	175020	45.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	381109	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	206089	54.1%
1	175020	45.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	381109	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	206089	54.1%
1	175020	45.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	381109	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	206089	54.1%
1	175020	45.9%

age
Real number (ℝ_≥0)

Distinct	66
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	38.82258357
Minimum	20
Maximum	85
Zeros	0
Zeros (%)	0.0%
Memory size	13.9 MiB

Quantile statistics

Minimum	20
5-th percentile	21
Q1	25
median	36
Q3	49
95-th percentile	69
Maximum	85
Range	65
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	15.51161102
Coefficient of variation (CV)	0.3995512301
Kurtosis	-0.5656550665
Mean	38.82258357
Median Absolute Deviation (MAD)	12
Skewness	0.6725389977
Sum	14795636
Variance	240.6100764
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24	25960	6.8%
23	24256	6.4%
22	20964	5.5%
25	20636	5.4%
21	16457	4.3%
26	13535	3.6%
27	10760	2.8%
28	8974	2.4%
43	8437	2.2%
44	8357	2.2%
Other values (56)	222773	58.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	6232	1.6%
21	16457	4.3%
22	20964	5.5%
23	24256	6.4%
24	25960	6.8%

Value	Count	Frequency (%)
85	11	< 0.1%
84	11	< 0.1%
83	22	< 0.1%
82	29	< 0.1%
81	56	< 0.1%

region_code
Real number (ℝ_≥0)

Distinct	53
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	26.3888074
Minimum	0
Maximum	52
Zeros	2021
Zeros (%)	0.5%
Memory size	13.9 MiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	15
median	28
Q3	35
95-th percentile	47
Maximum	52
Range	52
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.22988803
Coefficient of variation (CV)	0.5013446733
Kurtosis	-0.8678571198
Mean	26.3888074
Median Absolute Deviation (MAD)	10
Skewness	-0.1152664149
Sum	10057012
Variance	175.0299372
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
28	106415	27.9%
8	33877	8.9%
46	19749	5.2%
41	18263	4.8%
15	13308	3.5%
30	12191	3.2%
29	11065	2.9%
50	10243	2.7%
3	9251	2.4%
11	9232	2.4%
Other values (43)	137515	36.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2021	0.5%
1	1008	0.3%
2	4038	1.1%
3	9251	2.4%
4	1801	0.5%

Value	Count	Frequency (%)
52	267	0.1%
51	183	< 0.1%
50	10243	2.7%
49	1832	0.5%
48	4681	1.2%

policy_sales_channel
Real number (ℝ_≥0)

Distinct	155
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	112.0342947
Minimum	1
Maximum	163
Zeros	0
Zeros (%)	0.0%
Memory size	13.9 MiB

Quantile statistics

Minimum	1
5-th percentile	26
Q1	29
median	133
Q3	152
95-th percentile	160
Maximum	163
Range	162
Interquartile range (IQR)	123

Descriptive statistics

Standard deviation	54.20399477
Coefficient of variation (CV)	0.4838160935
Kurtosis	-0.9708101781
Mean	112.0342947
Median Absolute Deviation (MAD)	19
Skewness	-0.9000081235
Sum	42697278
Variance	2938.07305
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
152	134784	35.4%
26	79700	20.9%
124	73995	19.4%
160	21779	5.7%
156	10661	2.8%
122	9930	2.6%
157	6684	1.8%
154	5993	1.6%
151	3885	1.0%
163	2893	0.8%
Other values (145)	30805	8.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1074	0.3%
2	4	< 0.1%
3	523	0.1%
4	509	0.1%
6	3	< 0.1%

Value	Count	Frequency (%)
163	2893	0.8%
160	21779	5.7%
159	51	< 0.1%
158	492	0.1%
157	6684	1.8%

driving_license
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.9 MiB

1	380297
0	812

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	381109
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	380297	99.8%
0	812	0.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	380297	99.8%
0	812	0.2%

Most occurring characters

Value	Count	Frequency (%)
1	380297	99.8%
0	812	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	381109	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	380297	99.8%
0	812	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	381109	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	380297	99.8%
0	812	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	381109	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	380297	99.8%
0	812	0.2%

vehicle_age
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.9 MiB

1	200316
0	164786
2	16007

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	381109
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	2
4th row	0
5th row	0

Value	Count	Frequency (%)
1	200316	52.6%
0	164786	43.2%
2	16007	4.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	200316	52.6%
0	164786	43.2%
2	16007	4.2%

Most occurring characters

Value	Count	Frequency (%)
1	200316	52.6%
0	164786	43.2%
2	16007	4.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	381109	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	200316	52.6%
0	164786	43.2%
2	16007	4.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	381109	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	200316	52.6%
0	164786	43.2%
2	16007	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	381109	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	200316	52.6%
0	164786	43.2%
2	16007	4.2%

vehicle_damage
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.9 MiB

1	192413
0	188696

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	381109
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Value	Count	Frequency (%)
1	192413	50.5%
0	188696	49.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	192413	50.5%
0	188696	49.5%

Most occurring characters

Value	Count	Frequency (%)
1	192413	50.5%
0	188696	49.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	381109	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	192413	50.5%
0	188696	49.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	381109	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	192413	50.5%
0	188696	49.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	381109	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	192413	50.5%
0	188696	49.5%

previously_insured
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.9 MiB

0	206481
1	174628

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	381109
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Value	Count	Frequency (%)
0	206481	54.2%
1	174628	45.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	206481	54.2%
1	174628	45.8%

Most occurring characters

Value	Count	Frequency (%)
0	206481	54.2%
1	174628	45.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	381109	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	206481	54.2%
1	174628	45.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	381109	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	206481	54.2%
1	174628	45.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	381109	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	206481	54.2%
1	174628	45.8%

annual_premium
Real number (ℝ_≥0)

Distinct	48838
Distinct (%)	12.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	30564.38958
Minimum	2630
Maximum	540165
Zeros	0
Zeros (%)	0.0%
Memory size	13.9 MiB

Quantile statistics

Minimum	2630
5-th percentile	2630
Q1	24405
median	31669
Q3	39400
95-th percentile	55176
Maximum	540165
Range	537535
Interquartile range (IQR)	14995

Descriptive statistics

Standard deviation	17213.15506
Coefficient of variation (CV)	0.563176798
Kurtosis	34.0045687
Mean	30564.38958
Median Absolute Deviation (MAD)	7504
Skewness	1.766087215
Sum	1.164836395 × 10¹⁰
Variance	296292707
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2630	64877	17.0%
69856	140	< 0.1%
39008	41	< 0.1%
38287	38	< 0.1%
45179	38	< 0.1%
30117	36	< 0.1%
43707	36	< 0.1%
35074	35	< 0.1%
36086	35	< 0.1%
38452	34	< 0.1%
Other values (48828)	315799	82.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2630	64877	17.0%
6098	1	< 0.1%
7670	1	< 0.1%
8739	1	< 0.1%
9792	1	< 0.1%

Value	Count	Frequency (%)
540165	4	< 0.1%
508073	1	< 0.1%
495106	1	< 0.1%
489663	1	< 0.1%
472042	3	< 0.1%

vintage
Real number (ℝ_≥0)

Distinct	290
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	154.3473967
Minimum	10
Maximum	299
Zeros	0
Zeros (%)	0.0%
Memory size	13.9 MiB

Quantile statistics

Minimum	10
5-th percentile	24
Q1	82
median	154
Q3	227
95-th percentile	285
Maximum	299
Range	289
Interquartile range (IQR)	145

Descriptive statistics

Standard deviation	83.67130363
Coefficient of variation (CV)	0.5420972781
Kurtosis	-1.200688042
Mean	154.3473967
Median Absolute Deviation (MAD)	73
Skewness	0.00302951689
Sum	58823182
Variance	7000.887051
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
256	1418	0.4%
73	1410	0.4%
282	1397	0.4%
158	1394	0.4%
187	1392	0.4%
31	1388	0.4%
160	1388	0.4%
226	1388	0.4%
131	1387	0.4%
245	1387	0.4%
Other values (280)	367160	96.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	1311	0.3%
11	1344	0.4%
12	1257	0.3%
13	1329	0.3%
14	1260	0.3%

Value	Count	Frequency (%)
299	1283	0.3%
298	1384	0.4%
297	1284	0.3%
296	1302	0.3%
295	1275	0.3%

response
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	13.9 MiB

0	334399
1	46710

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	381109
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	0

Value	Count	Frequency (%)
0	334399	87.7%
1	46710	12.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
0	334399	87.7%
1	46710	12.3%

Most occurring characters

Value	Count	Frequency (%)
0	334399	87.7%
1	46710	12.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	381109	100.0%

Most frequent character per category

Value	Count	Frequency (%)
0	334399	87.7%
1	46710	12.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	381109	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	334399	87.7%
1	46710	12.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	381109	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	334399	87.7%
1	46710	12.3%

age_damage
Real number (ℝ_≥0)

Distinct	66
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	4340.278361
Minimum	2
Maximum	7324
Zeros	0
Zeros (%)	0.0%
Memory size	13.9 MiB

Quantile statistics

Minimum	2
5-th percentile	1451
Q1	2600
median	4322
Q3	5845
95-th percentile	7141
Maximum	7324
Range	7322
Interquartile range (IQR)	3245

Descriptive statistics

Standard deviation	1899.273687
Coefficient of variation (CV)	0.4375925986
Kurtosis	-1.202209861
Mean	4340.278361
Median Absolute Deviation (MAD)	1559
Skewness	0.06601177171
Sum	1654119146
Variance	3607240.537
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6659	25960	6.8%
6979	24256	6.4%
7141	20964	5.5%
4791	20636	5.4%
7324	16457	4.3%
2909	13535	3.6%
2408	10760	2.8%
2424	8974	2.4%
5845	8437	2.2%
5771	8357	2.2%
Other values (56)	222773	58.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	11	< 0.1%
7	11	< 0.1%
10	22	< 0.1%
13	29	< 0.1%
30	56	< 0.1%

Value	Count	Frequency (%)
7324	16457	4.3%
7141	20964	5.5%
6979	24256	6.4%
6659	25960	6.8%
5845	8437	2.2%

vintage_annual_premium
Real number (ℝ_≥0)

Distinct	302632
Distinct (%)	79.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	363.7404254
Minimum	8.795986622
Maximum	33717.28571
Zeros	0
Zeros (%)	0.0%
Memory size	13.9 MiB

Quantile statistics

Minimum	8.795986622
5-th percentile	12.23255814
Q1	117.3202847
median	194.7523364
Q3	374.1889764
95-th percentile	1345.682989
Maximum	33717.28571
Range	33708.48973
Interquartile range (IQR)	256.8686917

Descriptive statistics

Standard deviation	548.6531224
Coefficient of variation (CV)	1.508364438
Kurtosis	107.7098648
Mean	363.7404254
Median Absolute Deviation (MAD)	103.7178537
Skewness	5.741464175
Sum	138624749.8
Variance	301020.2488
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15.20231214	261	0.1%
109.5833333	256	0.1%
9.460431655	256	0.1%
12.00913242	256	0.1%
87.66666667	256	0.1%
12.11981567	255	0.1%
17.53333333	255	0.1%
41.74603175	254	0.1%
9.392857143	254	0.1%
10.31372549	253	0.1%
Other values (302622)	378553	99.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
8.795986622	231	0.1%
8.825503356	235	0.1%
8.855218855	245	0.1%
8.885135135	217	0.1%
8.915254237	190	< 0.1%

Value	Count	Frequency (%)
33717.28571	1	< 0.1%
25948.23077	1	< 0.1%
25876.53846	1	< 0.1%
22506.875	1	< 0.1%
21637.5	1	< 0.1%

age_vintage
Real number (ℝ_≥0)

Distinct	12101
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	168.5820243
Minimum	24.41471572
Maximum	2920
Zeros	0
Zeros (%)	0.0%
Memory size	13.9 MiB

Quantile statistics

Minimum	24.41471572
5-th percentile	33.18181818
Q1	56.47169811
median	91.8707483
Q3	172.8947368
95-th percentile	589.6153846
Maximum	2920
Range	2895.585284
Interquartile range (IQR)	116.4230387

Descriptive statistics

Standard deviation	230.4170123
Coefficient of variation (CV)	1.36679467
Kurtosis	23.01507351
Mean	168.5820243
Median Absolute Deviation (MAD)	44.77397411
Skewness	4.110853617
Sum	64248126.69
Variance	53091.99956
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
365	1366	0.4%
121.6666667	1346	0.4%
182.5	1329	0.3%
91.25	1258	0.3%
73	1161	0.3%
60.83333333	994	0.3%
52.14285714	828	0.2%
146	694	0.2%
730	663	0.2%
243.3333333	657	0.2%
Other values (12091)	370813	97.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
24.41471572	23	< 0.1%
24.4966443	26	< 0.1%
24.57912458	26	< 0.1%
24.66216216	27	< 0.1%
24.74576271	23	< 0.1%

Value	Count	Frequency (%)
2920	5	< 0.1%
2883.5	4	< 0.1%
2847	5	< 0.1%
2810.5	6	< 0.1%
2774	4	< 0.1%

age_damage_premium
Real number (ℝ_≥0)

SKEWED

Distinct	271591
Distinct (%)	71.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10.61946659
Minimum	0.3590933916
Maximum	27663
Zeros	0
Zeros (%)	0.0%
Memory size	13.9 MiB

Quantile statistics

Minimum	0.3590933916
5-th percentile	0.5166994106
Q1	4.186395939
median	6.994108473
Q3	11.65038462
95-th percentile	26.56232203
Maximum	27663
Range	27662.64091
Interquartile range (IQR)	7.463988676

Descriptive statistics

Standard deviation	117.9591069
Coefficient of variation (CV)	11.10781845
Kurtosis	33237.54538
Mean	10.61946659
Median Absolute Deviation (MAD)	3.456939872
Skewness	168.2687719
Sum	4047174.292
Variance	13914.35089
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.3949541973	2629	0.7%
0.3768448202	2496	0.7%
0.5489459403	2250	0.6%
0.3682957569	2106	0.6%
0.9040907528	1852	0.5%
0.3590933916	1830	0.5%
1.092192691	1642	0.4%
0.4829232464	1624	0.4%
1.084983498	1603	0.4%
0.4499572284	1549	0.4%
Other values (271581)	361528	94.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.3590933916	1830	0.5%
0.3682957569	2106	0.6%
0.3768448202	2496	0.7%
0.3949541973	2629	0.7%
0.4499572284	1549	0.4%

Value	Count	Frequency (%)
27663	1	< 0.1%
26120.5	1	< 0.1%
25939.5	1	< 0.1%
24683.5	1	< 0.1%
21944.5	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	id	gender	age	region_code	policy_sales_channel	driving_license	vehicle_age	vehicle_damage	previously_insured	annual_premium	vintage	response	age_damage	vintage_annual_premium	age_vintage	age_damage_premium
0	1	0	44	28.00000	26.00000	1	2	1	0	40454.00000	217	1	5771	186.42396	74.00922	7.00988
1	2	0	76	3.00000	26.00000	1	1	0	0	33536.00000	183	0	837	183.25683	151.58470	40.06691
2	3	0	47	28.00000	26.00000	1	2	1	0	38294.00000	27	1	5090	1418.29630	635.37037	7.52338
3	4	0	21	11.00000	152.00000	1	0	0	1	28619.00000	203	0	7324	140.98030	37.75862	3.90756
4	5	1	29	41.00000	152.00000	1	0	0	1	27496.00000	39	0	2504	705.02564	271.41026	10.98083
5	6	1	24	33.00000	160.00000	1	0	1	0	2630.00000	176	0	6659	14.94318	49.77273	0.39495
6	7	0	23	11.00000	152.00000	1	0	1	0	23367.00000	249	0	6979	93.84337	33.71486	3.34819
7	8	1	56	28.00000	26.00000	1	1	1	0	32031.00000	72	1	2763	444.87500	283.88889	11.59283
8	9	1	24	3.00000	152.00000	1	0	0	1	27619.00000	28	0	6659	986.39286	312.85714	4.14762
9	10	1	32	6.00000	152.00000	1	0	0	1	28771.00000	80	0	2560	359.63750	146.00000	11.23867

Last rows

	id	gender	age	region_code	policy_sales_channel	driving_license	vehicle_age	vehicle_damage	previously_insured	annual_premium	vintage	age_damage	vintage_annual_premium	age_vintage	age_damage_premium
381099	381100	1	51	28.00000	26.00000	1	1	1	0	44504.00000	71	4077	626.81690	262.18310	10.91587
381100	381101	1	29	28.00000	124.00000	1	0	1	0	49007.00000	137	2504	357.71533	77.26277	19.57149
381101	381102	1	70	28.00000	122.00000	1	2	1	0	50904.00000	215	1398	236.76279	118.83721	36.41202
381102	381103	1	25	41.00000	152.00000	1	0	1	1	2630.00000	102	4791	25.78431	89.46078	0.54895
381103	381104	0	47	50.00000	26.00000	1	1	1	0	39831.00000	235	5090	169.49362	73.00000	7.82534
381104	381105	0	74	26.00000	26.00000	1	1	0	1	30170.00000	88	1084	342.84091	306.93182	27.83210
381105	381106	0	30	37.00000	152.00000	1	0	0	1	40016.00000	131	2511	305.46565	83.58779	15.93628
381106	381107	0	21	30.00000	160.00000	1	0	0	1	35118.00000	161	7324	218.12422	47.60870	4.79492
381107	381108	1	68	14.00000	124.00000	1	2	1	0	44617.00000	74	1451	602.93243	335.40541	30.74914
381108	381109	0	46	29.00000	26.00000	1	1	0	0	41777.00000	237	5471	176.27426	70.84388	7.63608

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows